Class-specific neural network for video compressed sensing
US12394103B2 · kind B2 · utility
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Key dates
| Filing date | Mar 15, 2022 |
| Grant date | Aug 19, 2025 |
| Priority date | — |
| Expiry date | Nov 8, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/625
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A class-specific neural network for video compressed sensing and methods for training and testing the class-specific neural network are provided. The class-specific neural network includes a Gaussian-mixture model (GMM) and a plurality of encoders, where the GMM classifies video frame blocks with a plurality of clusters and assigns the video frame blocks to the plurality of clusters. Further, the plurality of encoders receive the video frame blocks and generate a plurality of compressed-sensed frame block vectors, where the plurality of encoders correspond to the plurality of clusters.
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